The objective of this work is to develop a last-mile delivery optimization model based on Continuous Approximation (CA) techniques and cost-based sustainability assessments, capable of testing various last-mile strategies.
This report discusses the project which aimed to develop an analytical framework to model urban last mile delivery, building upon the previously developed econometric behavior models that capture e-commerce demand.
This study unravels underlying shopping behaviors–both in-store and online–using the 2016 American Time Use Survey (ATUS) data, and develops an econometric behavioral model to understand the factors that affect shopping decisions.
This study addresses how much e-commerce will grow, if the growth will be consistent across locations and demographics, and what the impacts on the transportation system will be. In doing so, the study will develop a tool to estimate VMT and emissions from varying e-commerce scenarios using transportation demand models.